Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the operation is read-only, whether it mutates state, what permissions are needed, or how costly it is. The parameter condition is disclosed, but operational behavior is essentially absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It communicates the main action and the special parameter condition efficiently. Nothing needs to be trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Because an output schema exists, return values need not be explained here. The description does state how to invoke the all-tasks behavior, which is useful. However, with no annotations and many sibling tools, it remains incomplete about when and why to choose this analysis tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With one parameter and 0% schema description coverage, the description supplies the key semantic rule: task <= 0 analyses all tasks. This is valuable information absent from the schema, though the meaning of positive task values is only implied. It compensates well for the otherwise undocumented parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb ('Analyse') and a resource ('task'), and clarifies the all-tasks case. However, 'Analyse' is vague about what kind of analysis is performed, and it does not distinguish this tool from the many sibling analysis-adjacent tools. Adequate but broadly specified.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage guidance is the parameter behavior: task <= 0 means all tasks. There is no statement of when to use this tool versus alternatives, no prerequisites, and no context about the analysis scenario. This leaves the agent without routing guidance among many siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden. It discloses that the index is zero-based and that the return value is a string, but it omits any error behavior, the meaning of the required 'line' parameter, and any other operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It is appropriately sized for a simple accessor, though its brevity comes at the cost of missing context elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 0% parameter coverage, no annotations, and a required 'line' parameter, the description is incomplete. Although an output schema exists and reduces the need to explain return values, the description still fails to explain what 'line' represents or how the two parameters interact.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description only partially compensates. It clarifies that the 'index' parameter is zero-based, but it completely omits the required 'line' parameter, leaving half of the parameters undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Return argument string at zero-based index.' It is clear what operation is performed, though it does not explicitly distinguish this tool from the sibling gsa_num_arg, which likely relates to argument counts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool, what prerequisites exist, or how it relates to alternative tools such as gsa_num_arg. There is no when-to-use or when-not-to-use context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does not disclose whether the operation requires an open file, what happens if the case does not exist, or how the result is returned. The existence of an output schema partially covers the return value, but key behavioral context is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence, front-loaded with the purpose. It is concise but perhaps too terse given the missing context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, 0% parameter description coverage, and only an output schema to indicate returns, the description is incomplete. It should explain basic prerequisites and the meaning of caseop and case_id.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description does not explain the two parameters (caseop and case_id), leaving their meaning and expected values completely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (check) and resource (case existence) in a single clear sentence. It is distinguishable from siblings like gsa_results_exist and gsa_view_exist, but lacks any sibling differentiation within the description itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Says nothing about when to use this tool, what prerequisites apply (e.g., case must be loaded), or when to choose it over alternatives. No context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. Beyond the bare word 'Get', it says nothing about required permissions, whether it opens a case or requires one to be active, error behavior for a missing case_id, or the return shape — leaving an undocumented read tool with no behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short, but it is under-specified rather than concise. There is no waste because there is almost no content, which fails the 'every sentence earns its place' standard for a two-parameter tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The presence of an output schema means return values need not be explained, which is the one thing working in its favor. But with zero annotation coverage, 0% schema description coverage, and an unexplained required 'caseop' field, the definition is not sufficient for an agent to invoke it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds no parameter meaning at all. The cryptic 'caseop' argument in particular is entirely unexplained, and neither parameter is tied to the tool's behavior, so the description does nothing to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb+resource ('Get case name'), which is better than a tautology. However, it does nothing to distinguish itself from the many sibling tools that also operate on cases (gsa_case_exist, gsa_highest_case, gsa_case_perm_desc), so an agent cannot tell which case tool to pick from the text alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as gsa_case_exist or gsa_case_perm_string. The only usable signal is the implied read-style verb in the name, which is minimal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. 'Get' implies read-only, but it does not disclose permissions, whether the call mutates state, rate limits, or any behavior beyond the bare operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted words. It is extremely terse, but conciseness itself is appropriate; the problem is completeness rather than verbosity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be explained. However, with no annotations and 0% schema description coverage, the description should explain caseop and usage context; it omits both, leaving an agent under-informed for a two-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% with two required parameters. The description only vaguely references 'case' and entirely neglects 'caseop', failing to compensate for the missing schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb 'Get' and resource 'number of permutations for case'. Clear purpose, but does not distinguish from siblings like gsa_case_perm_desc, gsa_case_perm_string, or gsa_case_perm_anal_factor that seem to provide related permutation data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no mention of alternatives or prerequisites. Implied it is a getter, but no explicit context or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it delivers almost nothing: 'Get' weakly implies a read-only, side-effect-free operation, but return shape, error behavior, and any case/permutation state requirements are unstated. There is an output schema, but the description adds no behavioral context beyond it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single eight-word sentence is front-loaded and wastes no words, but the brevity here reflects under-specification rather than efficiency. Nothing is padded, yet nothing earns its place beyond the bare verb-resource statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter tool with no annotations and no schema documentation, the definition is inadequate. It omits parameter semantics, sibling differentiation, and any behavioral detail, leaving the output schema to do work the description should support.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Four required parameters (caseop, case_id, perm, analref) with 0% schema description coverage, and the description supplies zero meaning for any of them. It does not say what caseop values are valid, how perm relates to case_id, or what analref references, so the agent cannot construct a correct call from the definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a verb ('Get') and a resource ('analysis factor for a case permutation'), so the basic action is identifiable. However, 'analysis factor' and 'case permutation' are unexplained domain jargon, and the description does nothing to distinguish it from siblings gsa_case_perm_desc, gsa_case_perm_string, and gsa_case_num_perm. Purpose is only implied, not sharp.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no preconditions, and no mention of the three sibling permutation tools that an agent must choose between. The agent is left to guess whether this is the right call for retrieving permutation-related data.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether the underlying case must be open, not whether the caseop/perm combination must already exist, not what errors occur on bad input. 'Get' implies read-only, but that is inference rather than disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short and front-loaded with the verb, but its brevity reflects under-specification rather than economy – there is no real content to be concise about.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value explanation is not required, but for a three-parameter required tool with 0% param documentation, no annotations, and no usage guidance, the description leaves essentially everything to guesswork.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and none of the three parameters (caseop, case_id, perm) are documented in the description. The description does not compensate for the coverage gap at all – an agent must guess the meaning and domain of each required argument.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name almost verbatim ('Get case permutation description' for gsa_case_perm_desc) – a tautology. It does not distinguish this tool from the closely named sibling gsa_case_perm_string, nor does it clarify what a 'permutation' or 'description' actually refers to in this domain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no alternatives named, no prerequisites stated. The near-identical sibling gsa_case_perm_string is left completely unaddressed, so an agent cannot tell which of the pair it should call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden, and it discloses nothing. It does not say whether the operation is read-only, whether 'caseop' mutates the current case operation/context, what permissions are needed, or what failure modes exist. 'Get' weakly implies a read, but the presence of a 'caseop' parameter suggests possible state mutation that is never addressed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler and the action is front-loaded, so nothing is padded. The problem is under-specification rather than verbosity, which keeps it at a middling score: it is concise but vacuous.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, but everything else is missing: three undocumented required parameters, no annotations, no usage context, and no differentiation from the near-identical sibling tools. For a tool with this much unexplained surface, the description is inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%: 'perm', 'caseop' and 'case_id' are bare integer/string fields with no documentation. The description does not mention any parameter, so an agent cannot know what values are valid, what 'caseop' expects, or how the three inputs relate to each other. This is the worst case for a 3-required-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description has a concrete verb ('Get') and a named resource ('case permutation string'), so the mechanical purpose is stated. However, 'permutation string' is domain jargon that is not unpacked, and the description does nothing to separate this tool from siblings like gsa_case_perm_desc or gsa_case_perm_anal_factor, which appear to return related per-case quantities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus the closely named gsa_case_perm_desc or gsa_case_perm_anal_factor, and no statement of prerequisites (e.g. whether a case must be active). The agent is left to infer usage entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Check' implies a read-only operation, but the description does not state side effects, permission requirements, or whether the check depends on loaded results, leaving significant behavioral gaps for a query tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words, which is structurally clean. However, it is under-specified rather than appropriately concise, so it earns only a middling score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described. But with 0% parameter coverage and no annotations, the description omits essential calling context—especially what caseop values mean and how case_id/perm relate—making it incomplete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across three parameters, and the description only vaguely alludes to 'case/permutation' without explaining caseop, case_id, or perm. It fails to compensate for the missing schema documentation, making it difficult to invoke correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Check') and resource ('results for case/permutation'), so the tool's purpose is clear. However, it does not differentiate from siblings such as gsa_case_exist or gsa_output_data_exist, which also perform existence checks, leaving ambiguity about when this exact tool is needed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites or context. The short phrase gives implied usage at best, with no exclusions or sibling references.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden. It doesn't disclose whether this is a read-only operation, what happens if the case lacks a parent task, error behavior, or any side effects. Only the crudest behavioral hint (a return action) is present.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single 8-word sentence with no filler or repetition. It is front-loaded and efficient, though it could do more within its size.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema so return structure need not be explained in the description. However, for a case-inspection operation with no annotations and no usage guidance, the description is barely sufficient. It covers the basic read but omits any context an agent would need to choose it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one required parameter (case_id) with 0% schema description coverage. The description doesn't explain the parameter at all, but with only a single integer case identifier its meaning is relatively self-evident from the name. This is the baseline 3 for a simple param.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It states a verb (return) and a resource (parent analysis task for an analysis case), so the basic operation is clear. But without differentiation from siblings like gsa_case_results_exist or gsa_case_num_perm, and lacking specifics about what 'parent analysis task' entails, purpose is only roughly clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no indication of when to use this tool versus related case-inspection tools. With many siblings operating on cases (perm desc/string, results_exist, etc.), there is no guidance on selection or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and falls short. It does not disclose whether unsaved changes are discarded, whether a save prompt occurs, whether the operation is reversible, or what state the session is left in — all critical for a state-destroying operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with zero waste. Nothing superfluous is present and the core action is stated immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema covers return values, so the description needn't explain them. However, for a no-arg operation that tears down the active model, the omission of unsaved-change behavior leaves a meaningful gap an agent should know about.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to clarify. The schema is trivially complete and no parameter documentation is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Close') and resource ('current GSA model'), so an agent knows this terminates the active model session. It does not explicitly differentiate itself from siblings like gsa_new_file, gsa_delete, or gsa_save, so an agent must infer that closing is distinct from deleting or discarding.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus gsa_save, gsa_new_file, or gsa_delete, and no mention of prerequisites such as having a model open. The agent gets no routing or exclusion information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing. 'Create or recreate' hints that existing elements may be overwritten, but it never states what happens to pre-existing elements, whether the operation is destructive or reversible, or what permissions/state are required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single short sentence is front-loaded and wastes no words, but its brevity is under-specification rather than effective economy for a mutation tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, but for a mutating tool with no annotations and an entirely undocumented parameter the definition leaves critical information missing. An agent cannot confidently invoke it or predict side effects from this description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it only implies the parameter holds a list of members. It does not explain the accepted format, whether IDs or names are expected, or the meaning of the 'all' default value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb ('create or recreate') and a resource ('elements from members list'), so the general intent is discernible. However, 'recreate' is left undefined and the phrasing largely restates the tool name, with no differentiation from siblings like gsa_memb_num_elem or gsa_elem_memb_num that also relate members to elements.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites such as an open model, and no indication of when to prefer this over the related sibling tools. The only usage-relevant fact, the 'all' default, lives in the schema and is never surfaced in the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries the full burden. It signals persistence ('saved') but says nothing about what happens if a view with that name already exists, whether the current view state is captured, or what authorization/lifecycle constraints apply to a mutation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with no padding, which is good structure. But the brevity is achieved through under-specification rather than efficiency, so it sits at minimum-viable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained. However, for a mutation tool with zero annotation coverage and an undocumented required parameter, the description omits the naming/duplication semantics and side effects an agent needs to invoke it safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the single required parameter 'name' is documented nowhere. The description adds no meaning about the name's role (identifier vs. label), uniqueness requirements, or accepted format, leaving the agent to guess.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource combination ('Create a new saved graphic view'), which is clearly a write operation distinct from siblings like gsa_print_view or gsa_update_views. It does not, however, name or contrast with those siblings, so the agent must infer the routing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given. With siblings such as gsa_save_view_to_file, gsa_update_views, and gsa_set_view_* in the same family, the definition never says when a new view should be created versus reusing or updating an existing one.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It says "delete" but never states that data is destroyed, whether the action is reversible, whether it requires a case/analysis to be active, or what the option values mean. For a destructive mutation this is a serious gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence, so there is no padding, but it is under-specified rather than concise. Nothing is front-loaded beyond a vague verb-resource pairing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, but the description omits everything critical for a destructive no-annotation tool: what gets deleted, option semantics, and safety/permission context. It is not sufficient for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single parameter is described only as "option" with a default of RESULTS. The description says "based on option string" but never explains what values the option accepts or what each selects, leaving the parameter effectively undocumented in both schema and description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Delete results based on option string" restates the name (gsa_delete) with a vague object ("results") and an opaque qualifier ("option string"). It does not distinguish this tool from the many other gsa_* siblings that manipulate results or views.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance. The agent cannot tell under what circumstances deletion is appropriate, or what alternative exists, and there is no mention of prerequisites for a destructive operation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations and a sparse description, the behavioral burden is entirely on the description, which provides none. It doesn't state what the tool computes, whether it mutates model state, prerequisites, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short but under-specified rather than concise. It doesn't front-load useful information and leaves the reader with more questions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values needn't be explained, but the description fails to cover inputs, behavior, or usage for a mutation/analysis tool with zero schema documentation. It is completely inadequate for an agent to call correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and both parameters (task, option) are integers with no enum or description. The description says 'design option enum value' but the schema shows a plain integer with no enumeration, adding confusion rather than clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name ('design task') and mentions 'design option enum value' without clarifying what a design task actually does in GSA. It doesn't differentiate from siblings like gsa_analyse or gsa_case_task, making it nearly tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as gsa_analyse, gsa_case_task, or gsa_design_task_status. The agent has no context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure, but it reveals nothing beyond a minimal implied read operation. It does not mention permissions, side effects, error handling, or any other behavioral trait.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is technically concise, but it is under-specified rather than informative. It fails to earn its place because it adds no value beyond the tool name, similar to the LOW calibration example.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of annotations, parameter descriptions, and meaningful usage hints, the description is incomplete. Although an output schema exists (reducing the need to explain return values), the agent still lacks critical context about the parameter and the tool's role.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter task_id has no description in the schema (0% coverage), and the tool description says nothing about it. No meaning, format, or constraints are added beyond the parameter name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Return design task status' is a verbatim restatement of the tool name (gsa_design_task_status) in plain English. It does not distinguish this tool from siblings like gsa_task_status or gsa_design, making it a tautology rather than a clear purpose statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, nor any preconditions or context. The description merely states the action with no indication of appropriate scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the behavioral burden, and it does disclose the core trait: this toggles visibility of the GSA main window rather than mutating data. However, it omits anything about return values, whether the toggle persists, or interaction with analysis tasks, so it is only partially transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with the action stated first and zero filler. Nothing is padded or repeated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return-value explanation is unnecessary, and the tool is trivially simple (one boolean). Still, the missing boolean semantics and the lack of any guidance on when this should be invoked leave a small but real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain the single boolean parameter, and it only partially does: 'Show or hide' implies a visibility toggle but never states that display=true shows and false hides. The parameter name and description don't fully resolve the mapping.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb pair (show/hide) and a concrete resource (GSA main window), which is unambiguous and not duplicated by any sibling tool. It stops short of any sibling differentiation, but no sibling overlaps this UI-visibility function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The description is purely a one-line statement of effect, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not say whether the tool returns a single value or a list (i.e., whether an element can have multiple members), whether it errors if the element has no member, or how the returned id maps to GSA model indexing. Only the basic 'returns member id' intent is conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence, front-loaded and waste-free. Brevity is appropriate for a simple accessor, though the brevity comes at the cost of the missing information scored elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description need not explain return values, which keeps the bar lower. However, for a one-required-param accessor with no annotations and 0% schema coverage, the description should at minimum disambiguate the mapping direction against the sibling tools; it does not.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the sole parameter 'element_id' is undocumented in the schema. The description mentions 'element' implicitly but adds no format, range, or indexing semantics (e.g., GSA element numbering). With low coverage the description should compensate, and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the name ('gsa_elem_memb_num' → 'member id associated with element') without naming the GSA context or the direction of the mapping. Sibling tools gsa_memb_num_elem and gsa_memb_elem_num perform the reciprocal mapping, and the description gives no way to distinguish between them beyond the literal reading of the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative named. An agent cannot tell from the text whether this is the correct tool versus gsa_memb_num_elem / gsa_memb_elem_num for a given mapping direction. No prerequisites or context described.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must carry the full behavioral burden. It says nothing about whether the operation is read-only, what happens if the list expression is invalid, return cardinality, ordering, or error behavior. The single sentence leaves the agent guessing about all behavioral aspects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no padding, so it is technically concise. However, it is concise to the point of under-specification rather than efficient communication.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is an output schema, so return-value explanation is not required. But for a 2-required-param tool with 0% schema description coverage, no annotations, and an opaque integer enum parameter, the description is far too thin to let an agent call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the two parameters (lst, list_type) have bare titles with no descriptions. The description mentions 'list expression' which maps loosely to 'lst', but gives no format, syntax, valid values, or meaning for the integer 'list_type' enum-less parameter. This is a critical gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name almost verbatim ('Resolve list expression to entities' vs 'gsa_entities_in_list'). It states a verb (resolve) and a resource (entities), but 'list expression' is domain jargon and the core behavior isn't distinguishable from siblings like gsa_is_item_included or gsa_elem_memb_num.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative-tool guidance. In a sibling set of ~60 tools with several entity-list related tools (gsa_is_item_included, gsa_elem_memb_num, gsa_memb_elem_num, gsa_node_connected_ent), the agent gets no routing help.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not say whether existing files at the path are overwritten, what error occurs on an invalid path, whether the export blocks until completion, or what file naming convention is used for multiple tables — all material for a tool that writes files to disk.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted words, which is good structurally. However, for a five-parameter tool with side effects, one sentence is under-specified rather than appropriately tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return formatting need not be described, but that is the only mitigating factor. With five undocumented parameters, no annotations, and file-writing side effects, the description leaves the agent without enough information to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description names no parameters at all. The five inputs — pathname, delimiter, num_point, combinations, interesting_points — are completely opaque; it is not evident what 'num_point', 'combinations', or 'interesting_points' control in the export.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb+resource pair: exporting model and results tables to CSV files. An agent knows what the tool produces, but the description never distinguishes it from file-output siblings like gsa_save, gsa_save_as, or gsa_save_view_to_file, so it is clear without being differentiating.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no preconditions (e.g. whether a model must be open, cases analysed, or results computed first), and no mention of alternatives such as gsa_save or other output-extraction tools. The agent must infer context entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, yet it does not resolve the create-vs-find ambiguity, say whether an existing node within tolerance is returned instead of creating one, or note that this mutates the model. The only behavioral hint is the word 'find', which is left undefined.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

At four words it is front-loaded and wastes nothing, but the brevity is under-specification rather than true conciseness. A slightly longer sentence resolving the create/find behavior would earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, but for a mutation tool with no annotations and 0% parameter coverage the description is far too thin. The tolerance semantics and the create-versus-find outcome are exactly the things an agent must know and neither is covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the schema gives no help, and the description only obliquely covers x/y/z via 'coordinate'. The 'tol' parameter, which determines when a nearby existing node is matched, is not mentioned at all, leaving a meaningful part of the interface undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a resource (node) and a locator (coordinate) with the verbs 'create/find', so an agent knows roughly what domain it operates in. However, the phrase largely restates the tool name gsa_gen_node_at, and the dual 'create/find' wording leaves it ambiguous whether a node is always created, only found, or created only if absent. No differentiation from siblings such as gsa_node_coor is offered.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus alternatives like gsa_node_coor or gsa_node_connected_ent, and no mention of prerequisites such as an open model or active view. Usage can only be inferred from the terse phrase 'at coordinate'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden, but it adds almost nothing beyond restating the name. It does not disclose whether the read fails for missing records/tags, what happens if the key is invalid, whether it requires an open file or active session, or what the return shape is. A read-only operation is implied by 'Read' but not confirmed or elaborated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence that is front-loaded with the action. It is efficient, though the brevity borders on under-specification given the lack of parameter or behavioral detail elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, 0% schema description coverage, and an output schema that exists (so return values need not be explained), the description is still too thin. It omits error conditions, prerequisites, and any explanation of the 'key' parameter, leaving significant gaps for an agent to call this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so all three parameters (key, record, tag) are undocumented in the schema. The description mentions 'record' and 'tag' but adds no meaning about formats, allowed values, or the role of the undocumented 'key' parameter. With 0% coverage, the description fails to compensate for the missing parameter information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb ('Read') and resource ('sid value for module record+tag'), which is enough to understand it retrieves a stored value. However, the terms 'sid', 'module record', and 'tag' are domain-specific jargon with no explanation, and the description does not differentiate this tool from the sibling gsa_write_sid_tag_value beyond the read/write distinction implied by the verbs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The closest sibling, gsa_write_sid_tag_value, is not mentioned, and no prerequisites, context, or exclusions are stated. The only implicit signal is the verb 'Read'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full behavioral disclosure. It does not state whether execution mutates the model, what permissions are required, whether commands are reversible, or any side effects. 'Execute raw command' leaves the agent with no safety or impact context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with no wasted words. It is concise, though the extreme brevity is under-specification rather than ideal sizing for a tool that executes arbitrary commands.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's high complexity (arbitrary command execution) and the absence of annotations and parameter descriptions, the definition is far too thin. The presence of an output schema removes the need to explain return values, but critical context about usage, safety, and command format is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required parameter. The description only repeats that it is a 'raw GWA command string,' which identifies the kind of input but gives no syntax, format, or examples to compensate for the schema's lack of detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Execute') and resource ('raw GWA command string'), which uniquely identifies the tool among the specific GSA siblings. However, it offers no explicit differentiation from those siblings or scope clarification beyond the resource name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative guidance. Given the numerous specific sibling tools (e.g., gsa_new_file, gsa_save, gsa_analyse), the description should explain when this generic command interface is appropriate, but it is silent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses that this is a read-only validation of COM availability and returns a version, but omits failure modes, error behavior when COM is unavailable, and any rate or side-effect considerations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with zero waste; the key verb 'validates' and the return value 'version' each earn their place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter health check with an output schema available, the description need not explain return values. It covers the essential purpose, though it could note error behavior; the output schema covers the version return.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Parameter count is zero with 100% schema coverage, so the baseline is 4 by rule. The description correctly indicates no inputs are needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Health check' plus the concrete action 'validates COM availability and returns version.' This distinguishes it from data-manipulation siblings like gsa_analyse or gsa_version_string, though the description does not explicitly name a sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a connectivity/availability check use case but gives no explicit when-to-use guidance, no prerequisite conditions, and no mention of alternatives such as gsa_version_string for simply retrieving a version.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Return' implies a read-only query, but there is no explicit statement about side effects, safety, permissions, or error handling, leaving behavioral traits undisclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with zero waste, front-loading the verb and resource. Appropriate length for a simple query tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With one required parameter, no schema description, and no annotations, the description should explain accepted values for 'caseop' and clarify what 'highest' means. These omissions leave the agent unable to invoke it correctly without external knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must define the single parameter. It mentions 'case type L/A/C' which may hint at allowed values, but never maps this to the 'caseop' parameter or explains the expected format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb 'Return highest case' and resource 'case', which distinguishes it from siblings like gsa_highest_view. However, 'case type L/A/C' is an unexplained acronym that leaves the exact operation ambiguous for an agent without prior domain knowledge.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives such as gsa_case_exist or gsa_highest_view. It also omits any prerequisites or context for selecting the correct tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. 'Return' implies a read-only operation, but the description says nothing about side effects, permissions, error conditions, or whether the result is deterministic. This is a minimal hint, not sufficient transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, but it is under-specified rather than concise. It is not front-loaded with actionable information and leaves the agent with unresolved ambiguity about the key parameter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained. However, the description is incomplete for a tool with one required, undocumented parameter and no annotations: it lacks usage context, parameter meaning, and behavioral details, making correct invocation difficult.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required parameter 'option'. The description only repeats the parameter name without explaining what an option is, what values are valid, or how it affects the result. No meaningful semantics are added beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Return) and resource (highest numbered view), but the qualifier 'for option' is undefined, leaving the exact scope ambiguous. It does not distinguish this tool from sibling gsa_highest_case or other view-related tools, so an agent cannot fully rely on it for selection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives such as gsa_view_exist, gsa_view_name, or gsa_view_ref_from_name. There is no context on prerequisites or typical scenarios, leaving selection to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. The word 'Check' implies a read-only query, but no permissions, side effects, rate limits, or return behavior are described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. However, it is too terse to be appropriately sized for a tool with three required parameters and no annotation coverage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists and reduces the need to describe return values, the description still leaves essential input semantics and usage context unexplained. For a three-parameter query tool with no annotations and no schema descriptions, this is materially incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for three undocumented parameters. It mentions 'item' and 'list expression' only at a name level, and never explains the required 'option' parameter or the expected syntax of 'list_expr'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Check') and resource ('item is in list expression'), but it does not distinguish this tool from related siblings such as gsa_entities_in_list. The terms 'item' and 'list expression' remain vague without domain context, leaving the purpose only minimally clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. It simply states what the check does, leaving the agent to infer usage context entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it says nothing about whether this is a pure read, what happens if the index is out of range, or whether ids can be missing. For a lookup tool in a solver API, that leaves error behavior entirely undisclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded clause with no waste, but it is a sentence fragment rather than a coherent statement, and its brevity comes at the cost of substance rather than from disciplined editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists so return values needn't be described, but with no annotations and 0% schema coverage the description leaves an agent without enough context to invoke this confidently alongside its many siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but 'member+index' merely restates the two parameter names. It does not explain what index counts (element position within the member? ordering?) or the valid range.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: returns the element id for a given member and index. However, it never distinguishes itself from near-identical siblings such as gsa_memb_num_elem and gsa_elem_memb_num, whose names imply inverse or counting relationships, leaving the agent to guess which mapping it wants.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of the closely related sibling tools. The agent gets no help deciding when this lookup is appropriate versus the reverse mappings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden. 'Return' implies a read-only operation, but it does not state permissions required, error behavior for invalid member IDs, or whether any side effects occur. Only the bare purpose is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, waste-free sentence that front-loads the operation. It is appropriately sized for a simple getter, though the extreme brevity leaves it feeling under-specified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one integer parameter) and the presence of an output schema, the description is minimally adequate. However, it omits any parameter context or usage guidance, leaving the agent to infer how to supply member_id correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter (member_id) with 0% description coverage, so the schema provides no semantic details. The description mentions 'for member' but adds no meaning about what a member_id represents, its valid range, or where to obtain it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Return') and resource ('number of elements for member'), making the tool's core function clear. It does not distinguish this count operation from similar-looking siblings like gsa_memb_elem_num or gsa_elem_memb_num, which likely return lists or mappings rather than a count.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as gsa_memb_elem_num or gsa_elem_memb_num. The description only states what it returns, not the context or conditions for selecting it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it is almost silent. It does not say whether the current model is discarded, whether unsaved work is lost, whether a blank model is created or a dialog invoked, or what state results — all critical for a model-lifecycle operation adjacent to gsa_close and gsa_save.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence is structurally clean and front-loaded, with no wasted words. However, at four words it is under-specified rather than truly concise, leaving the sentence load-bearing for nothing beyond restating the name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained. But for a model-lifecycle tool with no annotations and lifecycle siblings like gsa_open/gsa_save/gsa_close, the description omits the one thing an agent needs: what happens to the current model and what constitutes a valid call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description neither helps nor harms here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The verb 'Open' plus resource 'GSA model' is identifiable, but 'new' is ambiguous: the tool name (gsa_new_file) signals creating a blank model while the description says 'Open', which is the verb used by the sibling gsa_open. An agent cannot confidently tell whether this creates a fresh model or opens one, so it sits at vague-but-recognizable (3).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to use this instead of gsa_open, gsa_save, or gsa_close, and no prerequisite or state condition. The sibling list makes the alternative (gsa_open for existing files) obvious, but the description supplies no routing guidance at all.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a read operation by saying 'Return,' but does not state whether it is safe, requires permissions, has side effects, or how results are ordered or limited.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no filler, which is efficient. However, it is arguably too terse given the tool's two undocumented parameters and lack of annotations, making the brevity come at the cost of necessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described. But with no annotations, 0% schema description coverage, and two mandatory parameters, the description is not complete enough for an agent to know how to invoke the tool correctly or what entity_type means.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both required integer parameters. The description does not explain what node_ref or entity_type mean, what values are valid, or how they relate to the returned connected entities, so it fails to compensate for the undocumented schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Return') and resource ('connected entity references') scoped to a node, making the core function clear. It does not distinguish this tool from siblings like gsa_node_coor or gsa_gen_node_at, but the purpose itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, prerequisites, or alternatives are provided. The description gives no guidance on how this tool fits among the many node- and entity-related siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not state the coordinate system (global vs local), units, return format, or any error behavior for invalid node IDs. This is a significant gap for a read tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no waste. Every word earns its place and the action-object structure is clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (1 param, output schema exists so return values need not be explained), but with no annotations and 0% schema coverage, the description is only minimally adequate. It could state coordinate system or units to be complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the schema does not document the node_id parameter. The description mentions 'node reference' but adds no detail on ID format or validity. Baseline 3 applies due to the low parameter count, but compensation for the coverage gap is minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Return) and resource (node coordinates) keyed to a node reference. It is distinguishable from siblings like gsa_node_connected_ent (connectivity) and gsa_gen_node_at (creation), though it doesn't explicitly name alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as gsa_gen_node_at or gsa_node_connected_ent. The agent must infer usage from the name and description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It says what is returned (a count) but does not disclose edge cases such as empty lines, whitespace handling, quoting, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler. Every word contributes to stating the operation and its input domain.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value details need not be repeated in the description. However, with no annotations and 0% parameter description coverage, the definition is only minimally complete: it says what the tool does but omits edge-case behavior that an agent may need.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single 'line' parameter has no schema-level explanation. The description adds that the line is comma-separated, which is useful, but it does not clarify format, delimiters, or tokenization rules enough to compensate for the missing parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Return number of arguments') and resource ('a comma-separated line'), making the basic purpose clear. It does not explicitly differentiate from the sibling tool gsa_arg, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as gsa_arg or other parsing helpers. The context of 'comma-separated line' implies usage, but no explicit conditions or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden and discloses almost nothing: it does not say whether opening replaces the currently loaded model, whether an unsaved file is discarded, or how GWB (model) versus GWA/CSV (data) opens differ. The format list hints at differing behavior but no effect is explained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is front-loaded and wastes no words, but it is terse to the point of under-specification for an operation that mutates application state.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described. However, for a state-changing open operation with no annotations and an undocumented parameter, the description leaves the agent without the information needed to predict side effects on the current session.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single 'filename' parameter, so the description must compensate. It partially does by naming the file formats the path may point to, but gives no path conventions, extension requirements, or error behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Open ... file') and even enumerates the accepted formats (GWB/GWA/CSV), which separates it from siblings like gsa_new_file, gsa_save, and gsa_close. It does not explicitly name those siblings, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this versus gsa_new_file or gsa_export_to_csv/import paths, nor any prerequisite about an existing session or whether an open file must be closed first. Usage is only implied by the verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It only says 'Return', implying a read operation, but gives no information about side effects, permissions, rate limits, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler or redundancy. It is appropriately concise for the amount of information it chooses to convey.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists, the tool still lacks annotations and parameter documentation. For a simple getter, the description leaves out critical details about the parameter's meaning and when the tool should be used, making it incomplete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage for the single parameter 'pos'. The description says 'for index', but does not explain what the integer index means, whether it is 0-based or 1-based, or any valid range, so it fails to compensate for the missing schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb and resource ('Return normalized 1D position'), but '1D position' and 'index' are vague without domain context. It does not differentiate this tool from nearby siblings such as gsa_output_num_elem_pos or other gsa_output_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. No context, prerequisites, or exclusions are provided, leaving the agent to infer usage entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about permissions, side effects, or error behavior. The only implicit trait is that it is a read-only existence check, which is left for the agent to assume.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, so nothing is wasted, but the brevity reflects under-specification rather than economy of information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value explanation is not required, but the description omits the identifier's meaning, the initialization precondition, and any behavioral context. For a check tool whose result gates other operations, this is too thin.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter entity_id is undocumented in the schema. The description's only attempt is 'for id', which does not clarify what kind of entity id this is (e.g. load case, member, element) or the expected value domain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific check (existence of initialized output data) but largely restates the tool name 'gsa_output_data_exist'. The phrase 'for id' is too vague to distinguish which identifier is involved, and no sibling such as gsa_output_init or gsa_case_results_exist is referenced.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this check, what precondition (e.g. output must have been initialized via gsa_output_init) makes it meaningful, or how it relates to alternatives like gsa_case_results_exist. Usage must be inferred entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only getter but never states that, nor does it explain the 'flags' parameter's effect, error behavior when the reference is not initialized, or any constraints. Minimal disclosure for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with no filler, and the verb/resource are front-loaded. It is efficient, though it may be too terse for the gaps it leaves unaddressed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the return value need not be described, which covers most of the agent's needs for a simple getter. However, the undocumented 'flags' parameter and absence of any behavioral notes leave the definition only minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single 'flags' parameter (default 1) is left entirely unexplained in both schema and description. The description contributes no parameter meaning at all, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Return') and resource ('title for initialized output data reference'), which distinguishes it from sibling getters like gsa_output_unit_string or gsa_output_is_dataref. The phrase 'initialized output data reference' is domain jargon, but the operation itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of alternatives. Nothing tells the agent when this title getter applies versus other output-related tools such as gsa_output_init or gsa_output_extract.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Extract' implies a read, but the description says nothing about permissions, whether init must precede it, what happens for uninitialized outputs, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no wasted words, but it is under-specified rather than genuinely concise—front-loading 'Extract initialized output value' gives no routing or parameter information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be explained, and the tool is simple (2 params, 1 required). Still, with no annotations and 0% schema coverage, an agent lacks the domain context ('initialized', 'position') needed to invoke this correctly among 60+ siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for two parameters, so the description must compensate and largely does not. It mentions 'entity and position', loosely mapping to entity_id and pos, but never explains what 'pos' indexes, its default of 0, or whether it is 0-based.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a verb (Extract) and a resource (initialized output value) scoped to an entity and position, which is more than a tautology. However, it does not distinguish this from close siblings like gsa_output_extract_arr, gsa_output_extract_cur_perm, or gsa_output_extract_cut_assembly, so an agent cannot tell which extract variant applies.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the many other gsa_output_* siblings, no prerequisites, and no exclusions. Usage is only weakly implied by the phrase 'initialized output value'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Extract' implies a read operation, but it says nothing about permissions, side effects, or whether any state is modified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short, front-loaded sentence with no filler. It is appropriately sized for a one-parameter tool, though the extreme brevity contributes to missing context elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, a 0%-covered input schema, and many similar extract siblings, the definition lacks enough context to select this tool confidently. The output schema reduces the need to explain return values, but usage and parameter meaning remain incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter has no schema-level description. The phrase 'for entity' only loosely associates entity_id with a target entity, without clarifying entity type, valid range, or how it is resolved.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Extract') and resource ('array output data') scoped to an entity. Distinguishes from the generic gsa_output_extract by 'array', but does not explicitly say how it differs from the other extract siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, prerequisites, or alternatives named. The agent must infer from the name that this is for array output instead of scalar or other extraction variants.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no indication of whether this is a read operation, whether it fails when no prior Output_Extract exists, or what state it depends on. The only behavioral hint is the implicit ordering dependency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, front-loaded with the verb. It is efficient, though brevity here shades into under-specification.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Because there are no parameters and an output schema exists, the description need not explain return values. The remaining gap is the opaque 'envelope permutation' concept and the implicit dependency on a prior gsa_output_extract call, which the description only hints at.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to document beyond the schema; baseline 4 applies per the rubric.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a verb (Get) and a resource (envelope permutation of the last Output_Extract result), which separates it from the raw gsa_output_extract sibling. However, 'envelope permutation' is domain jargon that is not unpacked, so an agent unfamiliar with the GSA output API cannot tell precisely what value comes back.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'of last Output_Extract result' implies a prerequisite call to gsa_output_extract, which is useful context. It does not state when this should be preferred over the related extract/array variants or what happens if no extract was run.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it says nothing about read-only semantics, permissions, side effects, or units. 'Extract' implies a read, but nothing confirms this or explains any behavioral constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single front-loaded sentence is efficient with zero wasted words, but at this length it functions as under-specification rather than disciplined brevity for a tool with five required parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described, but with 0% parameter coverage, no annotations, and no usage guidance across five required arguments, the definition is far too thin for an agent to invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All five parameters (assembly_ref, avg2d_stress, disp, case, axis) have 0% schema description coverage, and the description explains none of them. The mention of 'forces/displacements' loosely hints at the disp and avg2d_stress booleans but gives no guidance on axis values, case identification, or assembly_ref semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Extract') and a specific resource ('cut assembly forces/displacements'), which is more precise than a tautology. However, it offers no differentiation from the closely related siblings gsa_output_extract, gsa_output_extract_cur_perm, and gsa_output_extract_arr, so an agent cannot easily tell which of the family to select.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus the sibling extract variants, nor any prerequisite or context such as requiring prior output initialization or an analysed case. The agent is left to infer selection from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, yet it discloses nothing: no side effects, no state mutation semantics implied by 'initialize', no required preconditions (e.g., an open case/file), and no auth or ordering constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The sentence is short and front-loaded, but its brevity reflects under-specification rather than economy — it conveys no usable information, so no sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 5 undocumented parameters and no annotations, the description is completely inadequate. The existing output schema cannot compensate for the near-total absence of input semantics and behavioral context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Five cryptic parameters (flags, axis, case, dataref, num1dpos) with 0% schema description coverage and no explanation in the description. The agent has no idea what any of these values should be, and four are required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Initialize output API" restates the tool name (gsa_output_init) near-verbatim with no explanation of what an 'output API' is or what initialization accomplishes. It gives no way to distinguish it from siblings like gsa_output_init_arr, gsa_output_set_stage, or gsa_output_extract.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to call this, in what sequence relative to the many other gsa_output_* siblings, or any prerequisites. The agent is left to guess entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about side effects, required state, ordering constraints relative to gsa_output_extract_arr, or return behavior. One sentence of pure restatement leaves the agent with zero behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness: a single fragment that fails to front-load any actionable information. Brevity here is a symptom of missing content, not efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output-schema exists so return values need not be explained, but for a 5-parameter initialization call adjacent to many other gsa_output_* tools, the description is far too thin. It omits what initialization means, what flags encode, and how it relates to the extraction siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Five parameters with 0% schema description coverage, and the description says nothing about any of them. Critical parameters like 'flags' (an integer whose bit meaning is entirely opaque) and 'header' are left completely undocumented in both schema and description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Initialize array output API' is close to a tautology, restating the tool name gsa_output_init_arr almost word for word. It does not say what an 'array output' is or how this differs from the sibling gsa_output_init, which the agent is left to guess.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to call this versus alternatives such as gsa_output_init or gsa_output_extract_arr, nor any prerequisite information. The agent is given no routing guidance at all.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: not whether this is a read-only query, whether it can fail, what the flags encoding means, or what 'dataref characteristics' are returned. The presence of an output schema covers the return shape but not the semantics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no padding and the key phrase front-loaded, which is structurally fine. Its brevity is under-specification rather than efficient conciseness, so it earns only a middle score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with an opaque integer input, no annotations, and a lifecycle dependency on Output_Init, the description is missing the flag encoding and the ordering requirement. The output schema relieves it of explaining return values, but the critical calling information is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'flags' has 0% schema description coverage and the description says nothing about it — no bit layout, no valid values, no relation to Output_Init. With low coverage the description must compensate and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a verb ('Check') and a resource ('dataref characteristics'), which is more than the bare name, and it ties the call to the Output_Init sibling. However, 'dataref' is unexplained jargon and 'characteristics' does not say whether this is a boolean predicate or a property lookup, so it does not clearly separate itself from siblings like gsa_output_data_exist or gsa_output_init.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'from Output_Init' weakly implies it is used after that initializer, but there is no explicit when-to-use, no prerequisite statement, and no alternative named (e.g. gsa_output_data_exist vs this). An agent must guess the ordering and selection rationale.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, yet it only restates the operation. It does not state whether this is a pure read, what the returned count refers to, or any precondition (e.g. output stage/data must exist).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with no waste, which is structurally fine. But it is terse to the point of under-specification rather than genuinely efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be re-explained, but a documented required parameter and any usage context are missing. For a query tool in a large ambiguous family, this is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single required parameter 'entity_id' is never mentioned in the description. With a required parameter whose meaning (element or member id) is undocumented in both schema and description, the description fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb ('Return number of') and a resource ('element/member result positions'), so the operation is identifiable. However, 'positions' is domain jargon and it offers no differentiation from closely related siblings such as gsa_output_1d_elem_pos or gsa_memb_num_elem.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the many other gsa_output_* siblings, and no prerequisites or context for the call are given. The agent must infer the usage entirely from the name and the crowded sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it discloses nothing about state mutation, side effects, required context, or valid stage values. It is a bare imperative with zero behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence, but this is under-specification rather than conciseness — there is no front-loaded detail because there is no detail at all.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, but for a state-mutating tool with no annotations and an undocumented parameter the description is far too thin for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds nothing about the single 'stage' parameter — no meaning, no valid range, no effect of the default 0. The agent cannot tell what values are legal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Set output stage' essentially restates the tool name (gsa_output_set_stage) without explaining what an 'output stage' is or what setting it accomplishes. It does not distinguish itself from siblings like gsa_output_init or gsa_output_extract.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of alternatives among the many gsa_output_* siblings. The agent must infer everything from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears the full burden. It does not say whether the factor is global or model/stage-dependent, whether it requires an initialized output block, or anything about side effects. For a trivial zero-argument getter this is a modest but real gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no padding. It is appropriately sized for a trivial getter, though it is terse enough to leave useful context unstated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the return value is documented elsewhere, so the description need not explain it. For a zero-argument conversion-factor getter, the statement is nearly sufficient, missing only scope/prerequisite context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to clarify; baseline 4 applies. No parameter-level ambiguity exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: returns the SI-to-model unit conversion factor. Clear about what it produces, but it does not distinguish itself from the adjacent sibling gsa_output_unit_string, which sounds like it may return related unit information.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to use this versus gsa_output_unit_string or the other gsa_output_* helpers. The agent is left to infer that this is the numeric-factor counterpart to the unit-string tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Return' implies a non-mutating getter and the source context is named, but it does not explicitly state read-only behavior, initialization requirements, or error handling when the context is absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It says exactly what the tool returns and from where, with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the zero-parameter signature, low complexity, and the presence of an output schema, the description covers the essential source of the returned value. It could be more complete by noting the prerequisite that Output_Init must have been called and what happens otherwise.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there are no parameter semantics to explain. The baseline for a zero-parameter tool is 4, and the description does not need to add parameter details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Return) and resource (units string) along with its source context (Output_Init). It is clearer than a tautology, but does not explicitly differentiate from the similar sibling gsa_output_unit_factor.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, prerequisites, or alternatives are given. The phrase 'from Output_Init context' implies the tool is used after Output_Init, but nothing tells the agent when to pick this over gsa_output_unit_factor.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not disclose whether 'print' sends output to a physical printer, a file, or the screen, whether it has side effects, or what state it requires - all material for an ambiguous verb like 'print'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no padding, which is structurally clean. But brevity here reflects under-specification rather than efficiency - the one sentence does not earn its place as adequate guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained. Still, with no annotations, an undocumented required parameter, and no usage context for a tool sitting in a dense family of view/output operations, the definition is not complete enough for reliable selection or invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'option' has 0% schema description coverage and no enum, and the description never mentions it. The agent has no way to know what values 'option' accepts or what it selects, so the description fails to compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb ('print') and a resource ('graphics/output view(s)'), which is enough to identify the operation. However, it does not distinguish this tool from the many sibling view/output tools (gsa_update_views, gsa_save_view_to_file, gsa_output_*), and the parenthetical 'graphics/output view(s)' leaves the exact target ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool, what preconditions apply (e.g., an active view or initialized output), or how it relates to alternatives such as gsa_output_extract or gsa_save_view_to_file. The agent must infer usage entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It implies a mutation of view state but does not say whether the change is persistent, whether a view must be open/current, or what side effects rescaling extents has on the view.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is terse, but every word is doing work rather than padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, but the definition is still missing parameter meaning, mutation semantics without annotations, and any cue separating it from gsa_rescale_view_to_fit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required view_id parameter, and the description only obliquely says 'for view'. It adds no format, validity, or lookup guidance (e.g. whether the id must reference an existing view) beyond the parameter name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Rescale) and resource (contour/diagram data extents for a view), so the agent knows what is being changed. However, it does not explicitly distinguish itself from the near-identical sibling gsa_rescale_view_to_fit, leaving the agent to infer the difference between 'data extents' and 'to fit'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of the closely related gsa_rescale_view_to_fit alternative. The agent has no routing information to decide between the two rescale tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a view modification operation, but does not disclose whether it changes saved state, requires permissions, is reversible, or affects anything beyond the view extents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loaded, with no wasted words. However, it is under-specified rather than genuinely concise, functioning as a sentence fragment rather than a complete tool definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero annotation coverage, zero schema description coverage, and one required parameter, the description is incomplete. It does not explain parameter semantics, usage context, or behavioral implications an agent needs to invoke the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description never mentions view_id. The property name is self-explanatory, but the description adds no meaning about which view, valid ranges, or how the parameter interacts with the scaling operation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Scale view extents to fit.' It is clearer than a tautology, but it does not distinguish this tool from related siblings such as gsa_rescale_view_data or gsa_update_views, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance about when to use this tool versus alternatives. The phrase 'to fit' implies a use case, but the description provides no when-not-to-use conditions or sibling routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden for what is a write/persistence operation. It does not say whether an existing file at the default path is overwritten, whether unsaved changes are required first, what error occurs with no open model, or whether the save is confirmed synchronously.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, and the destination constraint is front-loaded. It is perhaps too terse for a persistence operation, but nothing in it is wasted or poorly ordered.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, and there are no parameters to document. However, for a save tool with zero annotation coverage, the description omits the behavioral facts an agent most needs: overwrite semantics, required preconditions, and failure modes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no argument semantics for the description to clarify; the schema is trivially complete. Baseline 4 applies per the no-params rule.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (save) plus the resource (current model) and the destination (default path), so an agent can tell it persists without a path prompt. It stops short of explicitly contrasting with the gsa_save_as sibling, which is the main ambiguity a caller would have.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this versus alternatives, even though gsa_save_as, gsa_open, gsa_new_file and gsa_close sit in the same family. The phrase 'default path' hints at the distinction but never names the alternative or the condition that selects it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It says it saves the current model to a supplied path, but says nothing about overwrite behavior, permission requirements, whether the current file path changes, or error handling for invalid paths.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no filler. For a one-parameter save-as tool, it is appropriately sized and wastes no words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, an undocumented parameter, and the side-effecting nature of a save operation, the description is incomplete. It omits key details an agent needs to invoke it safely, such as overwrite behavior and path format expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the single 'filename' parameter is undocumented in the schema. The description calls it a 'supplied path,' which adds a hint about destination, but it does not clarify whether the value is a filename, full path, relative path, or expected extension, and the mismatch between 'filename' and 'path' adds ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('save') and resource ('current model') and names the destination ('supplied path'), which distinguishes it from the sibling gsa_save that saves in place. However, it does not name the sibling or explicitly contrast the two, so it falls just short of full clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as gsa_save or gsa_save_view_to_file. The description implies usage only through the 'as' semantics and the required filename parameter, leaving prerequisites and exclusions unstated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says nothing about permissions, whether existing files are overwritten, which view is used if multiple are active, or what the output schema returns. For a file-mutating tool this is a serious gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that is front-loaded and wastes no words, but it is terse to the point of being uninformative rather than genuinely concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With two required undocumented parameters, no annotations, and no explanation of behavior or return values (even though an output schema exists), the description is insufficient for correct invocation. An agent would have to guess at both argument semantics and side effects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Both parameters are required with 0% schema description coverage, and the description provides no meaning for 'option' or 'filetype'. Since 'option' is a free-form string with no enum, the agent has no way to know valid values without external documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the name ('save view to file') with no added specificity. It does not distinguish itself from siblings like gsa_save, gsa_save_as, or gsa_print_view, which an agent must choose between. The verb+resource is present but entirely tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative guidance is provided. The agent cannot tell whether this supersedes gsa_save/gsa_save_as or how it differs from gsa_print_view.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It hints at the effect domain (GwaCommand parsing) but omits side effects, persistence, scope of impact, and whether the change is global or per-session.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted words. It is efficient, though its brevity borders on under-specification for a state-changing tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one required param, output schema present), but with no annotations and no parameter documentation, the description leaves the agent without the behavioral or value-format context needed to call it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the schema merely labels the parameter 'Locale' as an integer. The description repeats the term but adds no meaning about accepted values (e.g., locale codes) or format, so it fails to compensate for the undocumented parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Set) and resource (locale), plus a scope qualifier (for GwaCommand parsing) that tells the agent what the setting affects. It is clear, though it does not explicitly differentiate itself from the many sibling gsa_set_* and gsa_gwa_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when this should be invoked, what prerequisites exist, or how it relates to siblings like gsa_gwa_command. The agent must infer usage entirely on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It is a mutating operation ('Apply') applied to an existing view (view_id is required), but the description never states whether it overwrites existing settings, what template GWA actually means, whether it is reversible, or whether re-application replaces prior settings. This is a significant gap for a mutation with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no wasted words, front-loaded with the verb. Brevity is good, though here it may reflect under-specification as much as efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Jargon terms 'GWA' and 'base settings' are undefined, no annotations exist, and the parameters are undocumented. An output schema exists, so return values need not be explained, but everything else an agent needs to invoke this correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both required parameters. 'view_id' is a fairly self-evident integer, but 'saved_view_gwa' is opaque jargon (a template identifier?) and the description does not clarify its format, source, or relationship to the view. With low coverage, the description must compensate and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says 'Apply base settings from template GWA record,' which at least names a verb ('Apply') and a resource ('base settings'), but 'GWA record' and 'view base settings' are undefined domain jargon. Among siblings like gsa_set_view_contour or gsa_set_view_labels, it isn't clear what distinguishes 'base settings' from those specific view settings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus alternatives. The sibling set contains several view-configuration tools (gsa_set_view_contour, gsa_set_view_labels, gsa_set_view_diagram) and update tools (gsa_update_views), but the description doesn't indicate when base-settings application is appropriate or what prerequisites exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a mutation of view state but does not disclose prerequisites (e.g., whether the view must already exist), side effects, whether existing contour settings are overwritten, or permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence, but it is under-specified rather than concise. For a mutation tool with three required parameters and no structured documentation, it is too small to be useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described, but the description still provides almost no context for a three-parameter mutation tool with no annotations and 0% schema description coverage. It is not complete enough for an agent to call it correctly without guessing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and all three parameters are required. The description only hints at 'dataref' and 'view,' but adds no meaning for saved_view_gwa or view_id, nor does it explain what dataref represents or its expected format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb 'Apply' and mentions 'contour settings' and 'output dataref to view,' giving a rough sense of the action. However, 'contour settings' and 'dataref' are ambiguous jargon, and the description does not distinguish this tool from close siblings like gsa_set_view_diagram or gsa_set_view_labels.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no alternatives mentioned. The agent is left to infer that this applies contour display settings to an existing view from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It implies a configuration mutation but does not state what is changed, whether existing settings are overwritten, whether it requires the view to exist, what saved_view_gwa represents, or any side effects. Only the bare intent is conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler. It is front-loaded with the action. Its brevity is only a problem because it under-specifies, not because it is wordy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no parameter documentation, and an output schema present, the description should convey what the tool changes, prerequisites, and enough parameter meaning to call it correctly. It falls short on all counts; the output schema only covers return values, not inputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and all three required parameters (dataref, view_id, saved_view_gwa) are undocumented in both schema and description. The description mentions "dataref" and "view" but doesn't explain the meaning, type expectations, or the role of saved_view_gwa. The description fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.